Language and executive functions in patients with transcortical motor aphasia and Broca's aphasia.

Broca’s aphasia Executive functions Serbian language transcortical motor aphasia

Journal

Clinical linguistics & phonetics
ISSN: 1464-5076
Titre abrégé: Clin Linguist Phon
Pays: England
ID NLM: 8802622

Informations de publication

Date de publication:
20 Aug 2024
Historique:
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 21 8 2024
Statut: aheadofprint

Résumé

This study investigated language and executive functions (EF) in people with transcortical motor aphasia (TMA) and Broca's aphasia (BA). Participants included 19 patients with TMA, 19 patients with BA, and 25 healthy controls. Verbal Fluency tests, Stroop tests and Trail-Making tests were administered to all participants, and the Boston Diagnostic Aphasia Examination (BDAE) was administered to participants with aphasia. Results showed that (1) both groups of patients with aphasia had poorer performance on Verbal Fluency tests, Stroop tests and Trail-Making tests than healthy controls; (2) participants with BA had superior performance on Stroop tests and Trail-Making tests, but not on Verbal Fluency tests, than participants with TMA, and (2) the performance on Verbal Fluency tests, Stroop tests and Trail-Making was significantly correlated with the performance on BDAE for participants with TMA, but not for participants with BA. These results suggest that EF deficits are present in both patients with TMA and those with BA. They also show that the relationship between EF deficits and language impairments in people with aphasia might depend on the type of aphasia, aspects of language, and the components of EF measured.

Identifiants

pubmed: 39165076
doi: 10.1080/02699206.2024.2393410
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-19

Auteurs

Mile Vuković (M)

Faculty of Special Education and Rehabilitation, University of Belgrade, Belgrade, Serbia.

Liang Chen (L)

Communication Sciences and Special Education, University of Georgia, Athens, USA.

Classifications MeSH